MARC Record from University of Toronto

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001 AAIMR16336
005 20070119094023.5
008 070119s2006 onc|||||||||||||| ||eng d
020 $a9780494163368
039 $feh
100 1 $aKhachan, Ali Mohammad.
245 10 $aLinear processing for the downlink in multiuser MIMO systems.
260 $c2006.
300 $a70 leaves.
500 $aSource: Masters Abstracts International, Volume: 44-06, page: 2918.
500 $aAdvisor: Ravi Adve.
502 $aThesis (M.A.Sc.)--University of Toronto, 2006.
506 $aElectronic version licensed for access by U. of T. users.
520 $aMultiuser wireless systems with multiple antennas have the potential for achieving higher capacity while also enhancing quality of service. This thesis investigates the problem of linear processing for the downlink of such systems where a single base station communicates with multiple users. We jointly optimize power allocation and transmit-receive filters of all users for two criteria; (1) minimizing total transmission power given a set of quality of service constraints and (2) minimizing the sum mean squared error over all users given a total power budget. Based on the principle of duality, we propose iterative optimization algorithms for two variations of the linear processing problem; the first one assumes the availability of perfect channel knowledge at the transmitter, while the other is based on channel covariance feedback. Simulation results show that the proposed algorithms offer better performance over existing techniques in terms of reduced complexity and relaxed constraints.
590 $aROBARTS MICROTEXT copy on microfiche.$5CaOTU
653 $aEngineering, Electronics and Electrical.
856 41 $uhttp://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=442184&T=F$yConnect to resource
949 $atheses masters$wALPHANUM$c1$i6063885-1001$lMICROTEXT$mMEDIA_COMM$rN$sY$tTHESIS$u2/2/2007
949 $aOnline resource 442184$wASIS$c1$i6063885-2001$lONLINE$mE_RESOURCE$rY$sY$tE_RESOURCE$u2/2/2007
949 $aThesis ECE 2684$wALPHANUM$c1$i31761063345631$lSTACKS$mENGI_CSCI$rY$sY$tTHESIS$u21/12/2006